{"id":"W4389074614","doi":"10.1159/000535153","title":"Acknowledgment to Reviewers","year":2023,"lang":"en","type":"article","venue":"Gynecologic and Obstetric Investigation","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006679439,0.00009891957,0.0002362137,0.0003687852,0.0001757539,0.000055559,0.000107652,0.00005473775,0.001152262],"category_scores_gemma":[0.001439099,0.0001015325,0.00004138508,0.000946423,0.00007670297,0.0001191101,0.0001204526,0.00005052767,0.0439993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009211068,"about_ca_system_score_gemma":0.000009582162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001298645,"about_ca_topic_score_gemma":0.000002414278,"domain_scores_codex":[0.9990077,0.00001013622,0.0003306816,0.0003805224,0.00002730957,0.0002436233],"domain_scores_gemma":[0.9994409,0.0001395729,0.0001173694,0.0001537268,0.00002767666,0.0001207626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002773697,0.00001877257,0.05861692,0.00006675641,0.00004255411,0.000004989811,0.002052275,0.0001507869,0.00001700612,0.1459502,0.7835044,0.0095726],"study_design_scores_gemma":[0.000370446,0.0000892662,0.1131733,0.00001827162,0.000008329738,7.953456e-7,0.0009695725,0.001070432,0.00003760369,0.03184322,0.8521043,0.0003144521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.672882,0.004727362,0.0001570386,0.0026828,0.008179634,0.000809465,0.0001268238,0.0003112256,0.3101237],"genre_scores_gemma":[0.7228625,0.002592155,0.001362886,0.00296684,0.0001567328,0.0001612172,0.00004645181,0.00002060218,0.2698306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1141069,"threshold_uncertainty_score":0.9997608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07254455099488641,"score_gpt":0.2259947837066658,"score_spread":0.1534502327117793,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}